tml-epfl / sharpness-vs-generalization
A modern look at the relationship between sharpness and generalization [ICML 2023]
☆43Updated last year
Alternatives and similar repositories for sharpness-vs-generalization:
Users that are interested in sharpness-vs-generalization are comparing it to the libraries listed below
- ☆34Updated last year
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- ☆54Updated 4 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 2 years ago
- ☆45Updated 2 years ago
- ☆40Updated 2 years ago
- ☆29Updated 9 months ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆30Updated last year
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆20Updated 11 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆17Updated 2 years ago
- ☆107Updated last year
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- ☆38Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- ☆57Updated 2 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆15Updated last year
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 5 years ago